Loading...
Loading...
Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,435 datasets
Victoria's Redmap project collects community sightings of uncommon marine algae and plant species along the coast. The dataset includes verified and anecdotal records with species, location, date, and optional biological and environmental data, mapped to show potential distribution changes. Data is managed by the Australian Ocean Data Network and is subject to a three-year embargo, with spatial accuracy reduced.
33 marine species have projected habitat suitability changes on the Northeast US shelf. Changes are based on species distribution models fit to NOAA bottom trawl survey data, with positive values indicating increased suitability by 2040-2050 relative to a 1963-2005 baseline. The dataset was authored by Lauren A. Rogers of Stanford University and is available via the Biological and Chemical Oceanography Data Management Office.
A 2013 study from the ICES Journal of Marine Science quantifies deep coral reef habitat on the Great Barrier Reef. The dataset, sourced via the Australian Ocean Data Network, indicates that 61% (25,600 km²) of available seabed on submerged banks represents potential deep reef habitat, with predictive modelling suggesting over half (around 14,000 km²) is suitable for coral communities.
Parks Australia provides the 2002 management plans for the Ashmore Reef National Nature Reserve and Cartier Island Marine Reserve. The reserves, established in 1983 and 2000 respectively, protect biologically diverse reef systems in the eastern Indian Ocean under Australian jurisdiction. The plans detail the reserves' international significance, protected species, and the legal framework including the Environment Protection and Biodiversity Conservation Act 1999.
RV Investigator voyage IN2026_V01 collected sub-bottom profiler data for the Cook Ice Ecosystems and Sediments (COOKIES) project between January 02 and February 25, 2026. The Kongsberg SBP29 instrument logged continuous data with a 2.5 to 7 kHz frequency sweep and 3° by 3° angular resolution. Data are stored in .raw and .seg formats by CSIRO, with processed SEGY files containing gain corrections and attribute calculations.
Upward-looking vegetation images collected twice per year from 2011 to 2018 at the Alice Mulga SuperSite in Australia's Northern Territory. The Terrestrial Ecosystem Research Network (TERN) gathered these images to monitor low open woodland Mulga, hummock grassland, and river red gum forest. Images are provided in PNG format and can be used to estimate key vegetation metrics.
Global estimates of fishing effort derived from country-level fleet capacity data spanning 68 years from 1950 to 2017. The dataset, hosted by the Australian Ocean Data Network, includes metrics like vessel count, engine power, and gross tonnage, aggregated at EEZ, LME, and FAO levels. It was developed using a method published by Rousseau et al. (2019) to inform marine ecosystem models and study the socio-ecological evolution of fishing.
2561 individual polychaetes from 266 sediment samples were collected in the Oceanic Shoals Australian Marine Park between 2009 and 2012. The inventory includes 368 species and 43 families, with new species, genera, and family records for Australia. This study provides baseline ecological data, contrasting patterns with larger sessile fauna to highlight the importance of small macrofauna in marine management.
Data collected between April and October from sites on the Murrumbidgee River downstream of Burrinjuck Dam, comparing regulated sites receiving environmental flows with unregulated reference rivers. The dataset, from the NSW Department of Climate Change, Energy, the Environment and Water, tests the hypothesis that environmental flows scour biofilms and improve habitat for aquatic invertebrates. It includes measurements of biofilm, aquatic invertebrates, and water quality.
Antarctic seafloor bathymetry and watercolumn backscatter data collected by the Kongsberg EM712 multibeam echosounder aboard the RV Investigator. The voyage IN2026_V01, titled 'Cook Ice Ecosystems and Sediments (COOKIES),' took place from January 02 to February 25, 2026, departing from and returning to Hobart. The dataset consists of 158 raw bathymetry files totaling 15.7 GB and 158 watercolumn backscatter files totaling 30.1 GB, stored by the Australian Ocean Data Network.
Antarctic region multibeam echosounder data collected by the RV Investigator during the COOKIES voyage from January 02 to February 25, 2026. The dataset contains 1226 files totaling 122 GB of raw bathymetry data and 1226 files totaling 193 GB of watercolumn data, stored in .kmall and .kmwcd formats at CSIRO. Data were processed with sound velocity profiles, motion correction, and GPS tide computed using the EGM2008 model.
From 2007 to 2018, the Department of Biodiversity, Conservation and Attractions provided regular updates on vegetation association extents within Western Australia's IBRA bioregions. The reporting is based on Beards pre-European vegetation mapping at a 1:250,000 scale. These statistics were used for conservation planning, land use planning, and assessing development applications.
HF ocean radar data measures surface currents, wind directions, and significant wave height off the coast of Western Australia. The system covers the Ningaloo Peninsula and Ningaloo Reef, an area known for high marine biodiversity. Data is collected by the Australian Ocean Data Network using a WERA phased array system with a maximum range of 200 km.
Benthic survey data and habitat maps were created for the Yanyuwa Indigenous Protected Area in the Gulf of Carpentaria. The project was conducted by Marra and li-Anthawirriyarra rangers in partnership with Charles Darwin University and James Cook University from 2021 to 2022. Outputs include spatial datasets and a final technical report with recommendations for policy makers.
The Great Reef Census mobilizes tourism vessels and thousands of citizens to survey hundreds of reefs. This project, running from 2023 to 2026, aims to maximize data quality by combining machine and human learning and provides annual maps of reef state and ecological importance. Planned outputs include spatial maps of reef habitat type and tabular data from reef images.
Alexander Crits‐Christoph from Johns Hopkins University presents a 9.6 Gb shotgun metagenome from halite nodules in the Salar Grande area of the Atacama Desert. The dataset includes taxonomic and functional annotations for Archaea, Bacteria, Eukarya, and viruses from this extreme environment. Analysis revealed a dominant cyanobacterium for CO2 fixation, a novel nanohaloarchaeon genome, and over 30 viral or proviral genomes.
Rachel Neugarten from Cornell University created this dataset containing spatial optimization outputs for global conservation planning. It includes raster files from three optimization scenarios evaluating trade-offs between nature's contributions to people, biodiversity, and development potential. The data supports findings that conserving half of global land area could provide 90% of ten nature's contributions and meet representation targets for 26,709 terrestrial vertebrate species.
Twenty-one hour-long soundscape recordings from the Southwestern Amazon Basin contain 14,798 bounding box annotations for 132 bird species. The data was collected in 2019 at the Inkaterra Reserva Amazonica in Peru using ten SWIFT recording units. It was partially featured as test data in the 2020 BirdCLEF competition for machine learning algorithm training and evaluation.
33 hour-long soundscape recordings from the Sierra Nevada, California, annotated with 20,147 bounding box labels for 56 bird species. The data were recorded in 2018 by researchers from Cornell University and partially featured in the 2021 BirdCLEF competition. Passive acoustic surveys were conducted in the Lassen and Plumas National Forests using SWIFT recording units.
On the night of September 23, 2015, six autonomous recording units captured 20,000 ten-second audio clips near Ithaca, New York. This dataset is a curated subset of the BirdVox-full-night recordings, with 10,017 clips (50.09%) containing at least one bird vocalization. It was created as a development set for the DCASE Bird Audio Detection challenge, facilitating the development and evaluation of bioacoustic classification models.